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Development of a Prediction Rule for Estimating Postoperative Pulmonary Complications.

Authors :
Jeong, Byeong-Ho
Shin, Beomsu
Eom, Jung Seop
Yoo, Hongseok
Song, Wonjun
Han, Sangbin
Lee, Kyung Jong
Jeon, Kyeongman
Um, Sang-Won
Koh, Won-Jung
Suh, Gee Young
Chung, Man Pyo
Kim, Hojoong
Kwon, O. Jung
Woo, Sookyoung
Park, Hye Yun
Source :
PLoS ONE. Dec2014, Vol. 9 Issue 12, p1-12. 12p.
Publication Year :
2014

Abstract

Patient- and procedure-related factors associated with postoperative pulmonary complications (PPCs) have changed over the last decade. Therefore, we sought to identify independent risk factors of PPCs and to develop a clinically applicable scoring system. We retrospectively analyzed clinical data from 2,059 patients who received preoperative evaluations from respiratory physicians between June 2011 and October 2012. A new scoring system for estimating PPCs was developed using beta coefficients of the final multiple regression models. Of the 2,059 patients studied, 140 (6.8%) had PPCs. A multiple logistic regression model revealed seven independent risk factors (with scores in parentheses): age ≥70 years (2 points), current smoker (1 point), the presence of airflow limitation (1 point), American Society of Anesthesiologists class ≥2 (1 point), serum albumin <4 g/dL (1 point), emergency surgery (2 points), and non-laparoscopic abdominal/cardiac/aortic aneurysm repair surgery (4 points). The area under the curve was 0.79 (95% CI, 0.75–0.83) with the newly developed model. The new risk stratification including laparoscopic surgery has a good discriminative ability for estimating PPCs in our study cohort. Further research is needed to validate this new prediction rule. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
9
Issue :
12
Database :
Academic Search Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
100186017
Full Text :
https://doi.org/10.1371/journal.pone.0113656